How City of Hope saved clinicians 1000+ hours with HopeLLM

Sina Mehdinia, a Lead Data Scientist in the Applied AI & Data Science department at City of Hope, one of the largest and most advanced cancer research and treatment organizations in the U.S., shares how the organization built HopeLLM, a proprietary agentic application that automates patient journey summarization for physicians, enabling them to spend more time with their patients. Learn their approach to building reliable medical AI with fact-checking engines and multi-layer validation which leverages LangGraph's precise workflow control. Key highlights: - Saved clinicians over 1,000 hours within just six weeks of deployment - Helped summarize patient journeys for more than 1,500 patients - Reduced time to create summaries by 30 minutes per patient - Built multi-layer fact-checking and validation systems for clinical accuracy - Delivered agent results to physicians within an average of 3 minutes 🔗 Discover more agent engineer stories here: angchain.com/customers